Short-Term Water Demand Forecasting Using Artificial Neural Networks: IIT Kanpur Experience. - Ashu Jain; Umesh Chandra Joshi; Ashish Kumar Varshney (ICPR, 2000)

Calibration of Infiltration Parameters Using Artificial Neural Networks. - Ashu Jain; Amit Kumar (IICAI, 2003)

Comparative Analysis of Back-Propagation and Real-Coded GA for Training of ANN Rainfall-Runoff Models. - Sanaga Srinivasulu; Ashu Jain (IICAI, 2003)

Estimation of Concrete Slump based on Mix Constituents using Artificial Neural Networks. - Ashu Jain; Sanjeev Kumar Jha; Sudhir Misra (IICAI, 2005)

Estimating Groundwater Pollution Source Location from Observed Breakthrough Curves Using Neural Networks. - Jitendra Kumar; Ashu Jain; Rajesh Srivastava (IICAI, 2005)

An evaluation of artificial neural network technique for the determination of infiltration model parameters. - Ashu Jain; Amit Kumar (Appl. Soft Comput., 2006)

A comparative analysis of training methods for artificial neural network rainfall-runoff models. - Sanaga Srinivasulu; Ashu Jain (Appl. Soft Comput., 2006)

Artificial neuron models for hydrological modeling. - Seema Narain; Ashu Jain (IJCNN, 2007)

Hybrid neural network models for hydrologic time series forecasting. - Ashu Jain; Avadhnam Madhav Kumar (Appl. Soft Comput., 2007)

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions. - Holger R. Maier; Ashu Jain; Graeme C. Dandy; K. P. Sudheer (Environ. Model. Softw., 2010)

Fast Verification of Digital Signatures in IoT. - Apurva S. Kittur; Ashu Jain; Alwyn Roshan Pais (SSCC, 2017)